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Regional Strategy and Operations Analyst - Regional Logistics

Shopee

Singapore

On-site

SGD 60,000 - 80,000

Full time

Today
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Job summary

A leading e-commerce platform in Singapore is looking for a Strategy and Operations Analyst to innovate in logistics management. This role focuses on designing data-driven solutions that enhance delivery speed and efficiency within a large network. The ideal candidate will have a strong analytical background, proficiency in SQL and Python, and the ability to collaborate effectively in a high-growth environment. Join the team to make impactful changes and streamline operations, starting with graduation in July 2026.

Qualifications

  • Pursuing or possesses a Bachelor's Degree with strong academic results.
  • Experience in operations analytics or data-driven roles preferred.
  • Ability to explain technical findings to stakeholders.

Responsibilities

  • Evaluate logistics processes to enhance efficiency and reduce costs.
  • Analyze datasets to identify trends and insights.
  • Support strategic projects and align with business goals.
  • Translate strategic goals into actionable plans.
  • Monitor performance of new initiatives and provide data-driven insights.
  • Coordinate on cross-functional projects.

Skills

Proficiency in SQL
Proficiency in Python
Analytical thinking
Problem-solving
Collaboration

Education

Bachelor's Degree or above
Job description

At Shopee, logistics is the backbone of connecting millions of buyers and sellers across Southeast Asia. As a Strategy and Operations Analyst, you’ll play a pivotal role in shaping this massive network—designing data-driven solutions that make deliveries faster, warehouses smarter, and operations more cost-efficient.

Leveraging data, analytics, optimisation models, and collaboration with cross-functional teams, you’ll drive innovations that directly influence strategy and transform the user experience at scale.

You may work on projects such as:

  • Designing the transportation network, deciding the optimal number and location of hubs and warehouses
  • Developing warehouse layout strategies to improve productivity and throughput
  • Modeling inventory placement across the network to reduce lead times and costs
  • Comparing air, sea, and land transportation modes for cost-effectiveness and speed
  • Projecting end-to-end supply chain costs under different demand and volume scenarios
  • Optimising last-mile delivery strategies for both urban and rural regions
  • Evaluating the role of automation and technology in future network design
  • Conducting scenario analysis to understand the impact of disruptions, fuel price changes, or labor constraints
Responsibilities
  • Process Strategy & Optimisation: Evaluate and refine logistics processes to enhance efficiency, reduce costs, and strengthen operational scalability
  • Data Analysis & Insight Generation: Analyse diverse and dynamic datasets on operations and user behaviours, uncovering insights that tackle complex, real-world challenges
  • Use modelling and analysis to identify trends and generate insights that inform high-stakes business decisions
  • Strategic Support: Align strategic projects with broader business goals by supporting discussions with stakeholders and helping to define clear operational objectives
  • Planning & Execution: Help translate strategic goals into actionable plans with defined steps, contributing to their successful implementation
  • Performance Monitoring: Track the results of new initiatives, providing data and observations to help the team identify successes and areas for further refinement
  • Project Coordination: Provide support on cross-functional projects, helping with coordination and communication to keep initiatives on track
Requirements
  • Currently pursuing/possesses a Bachelor's Degree and above in any discipline at a reputable university with strong academic credentials/results, expected to graduate in June 2026 and join us by July 2026
  • Proficiency in SQL and Python, with the ability to translate data into actionable insights
  • Prior experiences in operations analytics, data analytics, or data-driven roles, internship or full-time
  • Strong analytical and structured thinking skills, with a knack for turning complex problems into practical solutions
  • Ability to explain technical findings clearly to both technical and business stakeholders
  • Collaborative, adaptable, and excited to work in a high-growth environment
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